Geodesics on S2 Surface: Arc-Length Parametrisation

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SUMMARY

The discussion focuses on the geodesics on the S2 surface, defined by the metric $$ds^{2}=d\theta^{2}+\sin^{2}(\theta)d\phi^{2}$$. The integral $$s=\int_{l_{1}}^{l_{2}}\sqrt{\left(\frac{d\theta}{dl}\right)^{2}+\sin^{2}(\theta)\left(\frac{d\phi}{dl}\right)^{2}}dl$$ is minimized to determine these geodesics. The Lagrangian is identified as $$L=\sqrt{\left(\frac{d\theta}{dl}\right)^{2}+\sin^{2}(\theta)\left(\frac{d\phi}{dl}\right)^{2}}$$, and an arc-length parametrization corresponds to the proper distance on the surface. The discussion also highlights the equivalence of the square-root and squared forms of the Lagrangian in deriving equations of motion, with the squared form yielding an affine parameter automatically.

PREREQUISITES
  • Understanding of differential geometry concepts, specifically geodesics.
  • Familiarity with Lagrangian mechanics and its formulations.
  • Knowledge of Riemannian and pseudo-Riemannian manifolds.
  • Basic grasp of general relativity (GR) principles and terminology.
NEXT STEPS
  • Study the properties of geodesics on Riemannian manifolds.
  • Learn about the implications of affine parameters in Lagrangian mechanics.
  • Explore the relationship between proper time and arc-length parametrization in curved spaces.
  • Investigate the squared form of the Lagrangian in various physical contexts.
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Mathematicians, physicists, and students of general relativity who are interested in the geometric interpretation of motion on curved surfaces, particularly in the context of geodesics and Lagrangian mechanics.

Frank Castle
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Consider the metric of ##S^{2}##: $$ds^{2}=d\theta^{2}+\sin^{2}(\theta)d\phi^{2}$$ Then in order to determine the geodesics on this surface one can minimise the integral $$s=\int_{l_{1}}^{l_{2}}\sqrt{\left(\frac{d\theta}{dl}\right)^{2}+\sin^{2}(\theta)\left(\frac{d\phi}{dl}\right)^{2}}dl$$ where ##l## parametrises a path connecting two points on the surface. We can identify the Lagrangian as ##L=\sqrt{\left(\frac{d\theta}{dl}\right)^{2}+\sin^{2}(\theta)\left(\frac{d\phi}{dl}\right)^{2}}##.

If one parametrises the path by its arc-length ##s## then ##L=1##. Now, in the case of space-time the arc-length of a time-like path is equal to the proper time between the two endpoints of the path, and hence an arc-length parametrisation corresponds in this case to choosing proper time to parametrise the path.

My question is, is the analogue of this for a curved surface (such as ##S^{2}##) the proper distance between two points on the surface, defined as ##dl=\sqrt{ds^{2}}##, such that, in the case of ##S^{2}##, the equations of motion are: $$\frac{d^{2}\theta}{dl^{2}}-\sin(\theta)\cos(\theta)\left(\frac{d\phi}{dl}\right)^{2}=0\\ \frac{d^{2}\phi}{dl^{2}}+2\cot(\theta)\frac{d\theta}{dl}\frac{d\phi}{dl}=0$$
 
We had a discussion about this in the context of GR. Despite the fact that in GR you have a pseudo-Riemannian manifold, everything said there is valid here. Instead of using the "square-root form" of the action, use
$$L_2=\frac{1}{2} g_{ab} \dot{x}^a \dot{x}^b.$$
Then automatically the parameter of the geodesic becomes an affine parameter. See the mentioned thread:

https://www.physicsforums.com/threads/geodesics-and-affine-parameterisation.891679/

In #17 I give a proof that you can derive any equation of motion (including also external forces other than gravity) as well from this "squared form" of the Lagrangian that you can derive from the "square-root form" with the advantage that the world-line parameter is automatically an affine parameter along the trajectories. Of course this also holds for the special case of no additional forces, i.e., for the geodesics of the manifold.

That's why in the square-root form the equation for the geodesic gets automatically in the preferred form for using an addin parameter, i.e.,
$$\mathrm{D}_{l}^2 x^{a}=\ddot{x}^a + {\Gamma^{a}}_{cd} \dot{x}^c \dot{x}^d=0.$$
You can of course scale your parameter ##l## such that ##\mathrm{d} s^2=g_{ab} \dot{x}^{a} \dot{x}^B \mathrm{d} l^2=\mathrm{d} l^2##, i.e., you can always impose the constraint
$$g_{ab} \dot{x}^a \dot{x}^b=1.$$
 

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